The application of hidden Markov models in speech recognition von Gales, Mark

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Noisy Constrained Maximum-Likelihood Linear Regression for Noise-Robust Speech Recognition von Kim, D K, Gales, M J F

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Discriminative classifiers with adaptive kernels for noise robust speech recognition von Gales, M.J.F., Flego, F.

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Issues with uncertainty decoding for noise robust automatic speech recognition von Liao, H., Gales, M.J.F.

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Paraphrastic language models von Liu, X., Gales, M.J.F., Woodland, P.C.

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The efficient incorporation of MLP features into automatic speech recognition systems von Park, J., Diehl, F., Gales, M.J.F., Tomalin, M., Woodland, P.C.

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Maximum likelihood linear transformations for HMM-based speech recognition von Gales, M.J.F.

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Discriminative semi-parametric trajectory model for speech recognition von Sim, K.C., Gales, M.J.F.

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Combining Derivative and Parametric Kernels for Speaker Verification von Longworth, C., Gales, M.J.F.

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Use of contexts in language model interpolation and adaptation von Liu, X., Gales, M.J.F., Woodland, P.C.

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Language model cross adaptation for LVCSR system combination von Liu, X., Gales, M.J.F., Woodland, P.C.

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Cluster adaptive training of hidden Markov models von Gales, M.J.F.

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Importance sampling to compute likelihoods of noise-corrupted speech von van Dalen, R.C., Gales, M.J.F.

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Mean and variance adaptation within the MLLR framework von Gales, M.J.F., Woodland, P.C.

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Environmentally robust ASR front-end for deep neural network acoustic models von Yoshioka, T., Gales, M.J.F.

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Speaker and Noise Factorization for Robust Speech Recognition von Yongqiang Wang, Gales, M. J. F.

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Product of Gaussians for speech recognition von Gales, M.J.F., Airey, S.S.

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